Abstract This paper investigates the problem of identification of a class of Hammerstein systems over a wireless network. An iterative identification method is implemented over a physical IEEE 802.11b wireless channel. Every time the identified model is used into next identification process to produce the estimated values of the plant outputs for compensating the influence of network delays. Finally the identified model can be optimized through the multiple iterations. The effectiveness of the proposed approach is demonstrated by numerical examples.


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